class_docstr: Class for a random batch method. The first element of the batch is selected by optimizing the acquisition in a standard way. The remaining elements are
  selected uniformly random in the domain of the objective.
  
  :param acquisition: acquisition function to be used to compute the batch.
  :param batch size: the number of elements in the batch.
code: def initialize_batch(
      self, duplicate_manager=None, context_manager=None
  ):
      x, _ = self.acquisition.optimize(
          duplicate_manager=duplicate_manager
      )
  
      return x
  
file_path: GPyOpt/GPyOpt/core/evaluators/batch_random.py
imports: from .base import SamplingBasedBatchEvaluator
  from ...optimization.anchor_points_generator import RandomAnchorPointsGenerator
  import numpy
label_desc: Use image node_id 2 for calling the RandomBatch obj's underlying member method code with example usage: obj.initialize_batch(duplicate_manager, context_manager) and returns: x